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Rebecca Gotlieb
Rebecca Gotlieb

“Contradict yourself!” Scott Barry Kaufman, scientific director of the Imagination Institute at the University of Pennsylvania, and Carolyn Gregoire, senior writer at the Huffington Post, offer that valuable piece of advice to those seeking to be creative. Their new book Wired to Create: Unraveling the Mysteries of the Creative Mind provides a compelling description of ten habits, skills, and personality dimensions of the creative person. This book, inspired by a widely popular article by Gregoire, is sure to resonate with any individual who feels the urge to create and will be informative for educators who seek to inspire habits of creativity in others.

The stages of creativity have traditionally been defined as progressing from a period of knowledge gathering and preparation for insight, to an incubation period in which ideas form out of conscious awareness, to illumination in which there is a creative breakthrough, and finally to verification in which the idea is tested. Kaufman and Gregoire argue that this model describes the messy creative process too cleanly. The creative process requires disciplined switching between rational and imaginative thinking, each of which is supported by distinct networks in the brain. The creative person harbors paradoxes, prefers complexity, extracts order from disorders, takes risks, perseveres, and feels passion.

Kaufman and Gregoire assert that a drive for exploration and an openness to new experiences may be the most essential force for enabling creative achievement. Dopamine, which the authors dub “the mother of human invention” is the neurotransmitter that urges us to explore. Creative people explore by enjoying artistic and imaginative hobbies outside of their domain of expertise and engaging in intellectual “cross-training”—learning ideas from across disciplines. Creativity is enhanced when we have novel experiences, whether those experiences are cross-cultural exchanges or simply driving home from work using an unusual route.

Creative people do not think of work and play as divorced; they do not pit effort and inspiration against one another. Playful adults are less stressed and more successful. For children imaginative play enhances creativity, but youth today have too little time for free, uninstructed play. Like play, experiencing passion is important. Passionate children are more likely to grow into creative adults, especially if they pursued a “harmonious passion” out of a deep curiosity and love of the activity. Inevitably, creative pursuits will present hurdles, but possessing an image of oneself as someone who will overcome any obstacle to achieve her creative dream can help one realize that dream.

Day dreaming is typically characterized as a costly distraction from important learning and instruction. Kaufman and Gregoire argue that in its positive constructive form day dreaming is valuable for planning one’s future, engaging in self-reflection, and even feeling compassion for others. They praise the uninterrupted sick-in-bed day, the long hot shower, or the leisurely walk in nature, all of which are known to have spurred creative insights. The advantage these activities confer may be in part because they are solitary. As many artists know, alone time is critical for developing emotional maturity and a sense of oneself. Indeed, it is when we are alone that the brain network that enables creativity is most likely to be active. Aloneness can help us hear more clearly our inner intuitions and gut feelings, which are valuable guides.

In the vein of the contradictory creative process, as valuable as day dreaming is, the opposite, mindfulness, facilitates creativity also. When we are mindful, we experience more of life by focusing on what we observe. Indeed mindfulness has been shown to increase activation in the brain network that supports imagination. Just a few minutes of meditation before a test can boost performance. One step we can take towards increasing mindfulness is to put our smartphones down and spend less time “grazing” on social media.

Creative people are typically more sensitive. They respond strongly to emotional, cognitive, and physical stimuli. Sensitivity allows the creative person to make herself vulnerable, which can help produce creative achievements. Sensitive individuals who are reared in harsh conditions, may experience that upbringing as even harsher than less sensitive others would. The suffering artist is a common trope; it is true that people who have experienced adversity are inclined to express themselves creatively as this can be a way of coping with and making meaning of that adversity.

Being a creative person in our society takes tremendous courage and perseverance. It means breaking from the crowd, contradicting norms, and taking risks. Often the external reward for doing so, if it ever comes, is delayed. Nonetheless, as Kaufman and Gregoire show, we all benefit when we laud creativity in all its messy, contradictory beauty.

Kaufman, S.B. & Gregoire, C. (2015). Wired to Create: Unraveling the Mysteries of the Creative Mind. NY, NY: Perigee, Penguin Random House LLC.

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Myra Laldin
Myra Laldin

belonging

Accepting The Need to Belong

Last fall, we heard about highly charged situations arising across countless college campuses. 1 2 3 Some people reacted strongly by name-calling and spreading accusations of “bad parenting” or “lack of discipline” to explain these students’ actions.4 As a student of education and psychology, I asked myself:

What are these students really asking for? Why are they protesting?

Of course, I’m not the first person to examine these questions. Annie Murphy Paul, a psychology journalist, answered these questions in her recent article in Time Magazine.5 What these students really want, she concludes, is a “sense of belonging.”

Over the years, students have repeatedly asserted their desire to belong. Two years ago at Harvard, for example, students of color started the “I too am Harvard” movement to increase representation of marginalized communities on campus.6 Again, they are sending the same message: I am here, and I want to feel that I belong here too.

What does it mean to “belong?” And what impact might it have on students’ academic achievement and motivation? After spending four years of their lives on a campus, what factors help students to reach a level of ease and comfort, where they can feel as much at home as their peers? What factors prevent them from feeling comfortable?

Perhaps it’s easier to start with what doesn’t make students feel like they belong. It may be a lack of teachers from minority groups. It might also be a lack of representation of students’ minority group in the books they read and the movies they watch in class. It may be that there are few role models for them to follow. It may be the normalization of the majority culture in education while marginalized communities subject areas are referred to as “ethnic studies”. It may be the exclusion of minority students in student government or groups. The list goes on and on.

Students are speaking up because they seem to feel that they are stuck in the “out-group”, and politics aside, from a psychological perspective, I hope we can all agree that’s not how our campuses should be making any student feel.

The Science of Belonging

When we find ourselves in situations where we are the “out- group” or in an environment in which we feel like an outsider, we use our mental energy to monitor for threats, leaving fewer resources for higher cognitive processes. When students feel as if they don’t belong in a school setting, the cognitive energy that should be used on social engagement and learning is being used to scan for group barriers, discrimination and stereotypes.

As adults, we rarely acknowledge the importance of fun. Being part of a social group in school encourages us and motivates us to go to class. As Lev Vygotsky put it, we are “social learners.”7 School is a time when you are finding your sense of identity, and this is largely determined through who we hang out with. It is important that students’ conceptions of their identities allow them to believe that academic work holds value for them. If they believe that speakers of their language and members of their gender, racial, and ethnic groups do not have the ability to attain certain academic standards, they will act according to that belief. This belief can sometimes lead to what Claude Steele refers to as “stereotype threat.” Stereotype threat is feeling “at risk of confirming, as self-characteristic, a negative stereotype” about their race, gender, ethnicity etc.8

Claude Steele, a social psychologist, posits that when a group’s stereotypes are emphasized, their academic performance tends to deteriorate. In one experiment, when Black college students’ race was emphasized, they performed worse on standardized tests than their White counterparts. When race was not mentioned, they performed on par and sometimes better than the White students. These results, along with others focusing on stereotypes pertaining to other groups, such as his experiments on female mathematicians, showed the harmful effects of being aware that you are being viewed through the lens of a stereotype.8 Several factors seem to cause this decrease in academic performance triggered by stereotype threat: anxiety, physiological stress, and reduced capacity of our working memory.9

For a person facing a stereotype threat, the process of thinking through the possibility of confirming a stereotype by performing badly on a test causes a great deal of anxiety. In turn, this anxiety places a drain on a student’s energy and cognitive resources. As a result, the capacity of working memory is diminished, and performance is impaired.

Working memory is the ability we have to mentally manipulate information over short periods of time. Working memory can be thought of as your scratch pad, or your personal search engine, or as a mental workspace that we can use to store important information in the course of our mental activities. You can see how having an impaired working memory could affect your ability to mentally search through vast quantities of information. Even if you did manage to remember the necessary information, your mental workspace may still be in disarray.

Stereotype threat has physiological, as well as cognitive, effects. Social threat or disconnection seems to be processed in the brain in the same way as the threat of physical harm.10 When the threat is detected, a range of neurophysiological processes are set in motion. The hypothalamic-pituitary-adrenal axis (HPA) goes into overdrive, releasing a hormone called cortisol. Not surprisingly, cortisol is often called the stress hormone. High levels of cortisol seem to decrease neural connections the hippocampus, part of the brain associated with learning and memory and stress control. 10 Cortisol can negatively impact the prefrontal cortex, an area associated with high-order cognitive abilities.

For more details watch this short clip from TEDEd on How Stress Affects the Brain.

As educators, we need to make it a priority to create an environment where our students strive and can learn to their full potential.

Why Belonging Matters in the Classroom 

Research has also shown that academic outcomes, such as motivation, dropout rates and academic performance, were correlated with feelings of belonging.11 A study demonstrated that college students’ self-reported of level of school belonging in high school positively corresponded with academic achievement in college.12

Walton and Cohen studied what happened when minority students and white students were made aware of the percentage of people in their chosen field of study who belonged to their ethnic or racial group. They compared how this knowledge affected minority and white students’ performance in their chosen field. An intervention that mitigated any doubts of belonging in a specific field had a positive effect on academic achievement. 13

This finding is consistent with Ladson-Billing’s research, which found that having role models to look up to, whether through literature or a teacher, has an impact on students and how they define what is attainable.14

In this country there is a very clear image of what success looks like. These ideals of success apply to all domains of life, not just the academic aspects. If we are in the majority culture, then it may appear that the system works well – but that’s not always the case for marginalized students.

Often, it is not only in school that minority students do not feel they belong – it is in every facet of society. The problems faced in schools is the effect of bias in society at large. However, the school is one place where we should be able to completely control whether students’ voices can be heard and their opinions can be of value. The classroom has the unique opportunity to provide equal support and equitable opportunities to all students.

Will our students end up feeling the same when they reach college? What are we doing in our classrooms, in our cafeterias, on our playgrounds, to ensure that our students, staff and leadership feel as if they belong. Are we being intentional about how we structure our classrooms to encourage a sense of belonging?

Like earlier research, the Organization for Economic Co-operation and Development (OECD) also found that students who had a greater sense of belonging were more inclined to have a higher level of engagement in class and tended to have high levels of academic performance. 15 The report posits that student engagement has “more to do with the culture of the school, and teachers and principals can play a strong role in creating a positive culture.”

Other studies underscore the importance of the role of teachers and administrators, who have the power to enforce policies and practices that promote social inclusion for the enhancement of students’ engagement and overall academic performance.16

Moving Forward with Intention

Research has shown that having academic material mirror student’s’ home life and culture helps them relate to the curriculum and take ownership in learning, improving academic achievement in a significant way. 17 Culturally Responsive Teaching(CRT) aims to address these challenges. It makes an effort to legitimize all cultures. It gives students the space to take ownership of their cultural heritage. It shows them the value of maintaining this heritage and to do so with pride. There is an effort to create an environment where there are no subtle or overt pressures for students to disavow their own culture and assimilate to the majority culture.

Policies, practices of inclusion and CRT are a start, but I think that even before implementing these solutions, the first step needs to be a self- awareness. For our students to be accepting of one another the attitude shift must start at the adult level. If we, as the leadership, staff, or teachers, do not display an attitude of inclusiveness and celebrate differences, how can we expect our students to act any differently?

Change must start with us, the role models that students follow. We must be introspective and honest with ourselves, recognizing our own biases and assumptions. Do we expect less from the Hispanic student than we do from others? Do we quickly punish our black students and take time to listen to others? Can we empathize with our students? Do we want to make an effort to change how to run things in our classrooms?

This article is not intended to provide easy answers. It is merely raising awareness about important issues that are affecting our students right now. When we’re ready, we can start looking for some practical answers.

Let’s not be one of the teachers and school leaders who tell are students that they are still welcome, even if they “don’t fit the mould” of our institution.18 Let’s break that mould. There should be no mould based on race, ethnicity or socio economic status. We all should be welcome with our own individualized moulds. For it is in diversity that we truly flourish.

Belonging is important. Our social interactions greatly impact our ability to learn and excel academically. Our students need to feel they belong. From a young age, they need to feel they belong. I hope that our students won’t be fighting this same battle that college students are fighting today.

Let’s not put our students in the same place.

References & Further Reading

  1. Kennedy, R. (2015). Black Tape at Harvard Law. The New York Times, November 27 2015. Retrieved from: http://www.nytimes.com/2015/11/27/opinion/black-tape-at-harvard-law.html?_r=0
  2. Gebreyes, R. (2015). Yale Student Explains Why Students Were Offended By Halloween Costumes Email. HuffPost College, November 12 2015 Retrieved from: http://www.huffingtonpost.com/entry/yale-student-halloween-costumes-christakis_5644baa8e4b045bf3dedfe1e
  3. Eligon, J. (2015). At University of Missouri, Black Students See a Campus Riven by Race. The New York Times, November 12 2015. Retrieved from: http://www.nytimes.com/2015/11/12/us/university-of-missouri-protests.html?_r=0
  4. Kimball, R. (2015). Rise of the College Crybullies. The WallStreet Journal, November 13 2015. Retrieved from: http://www.wsj.com/articles/the-rise-of-the-college-crybullies-1447458587
  5. Murphy Paul, A. (2015). The Yale Controversy is Really About Belonging. Time Magazine, November 11 2015. Retrieved from: http://time.com/4108632/yale-controversy-belonging/
  6. Butler, B. (2014).‘I, Too, Am Harvard’: Black students show they belong. The Washington Post, March 5 2014. Retrieved from: https://www.washingtonpost.com/blogs/she-the-people/wp/2014/03/05/i-too-am-harvard-black-students-show-they-belong/
  7. Vygotsky, L.S. (1978). Mind in Society:The development of higher psychological processes. Cambridge, MA:  Harvard University Press.
  8. Steele, C. M., & Aronson, J. (1995). Stereotype threat and the intellectual test performance of African Americans. Journal of Personality and Social Psychology, 69, 797-811. doi:10.1037/0022- 3514.69.5.797
  9. Schmader, T., Johns, M., & Forbes, C. (2008). An integrated process model of stereotype threat effects on performance. Psychological Review, 115, 336-356. doi:10.1037/0033-295X.115.2.336
  10. Eisenberger N. & Cole S.W. (2012). Social neuroscience and health: neurophysiological mechanisms linking social ties with physical health. Nature neuroscience, 15 (5), 669-74
  11. Osterman, K. F. (2000). Students’ need for belonging in the school community. Review of Educational Research, 70, 323-367. doi:10.3102/00346543070003323
  12. Pittman, L. D. & Richmond, A. (2007). Academic and psychological functioning in late adolescence: The importance of school belonging. The Journal of Experimental Education, 75, 270-290. doi:10.3200/JEXE.75.4.270-292
  13. Walton, G. M. & Cohen, G.L. (2007). A question of belonging: race, social fit, and achievement. J Pers. Soc. Psychology, 92(1), 82-96.
  14. Ladson-Billings, G. (1995a).  Multicultural teacher education: Research, practice, and policy.  In J.A. Banks & C.A.M. Banks (Eds.)Handbook of Research on Multicultural Education(pp. 747-759). New York: Macmillan.
  15. Willms J.D. (2000). Student Engagement At School and A Sense of Belonging and Participation. Retrieved from:http://www.oecd.org/edu/school/programmeforinternationalstudentassessmentpisa/33689437.pdf
  16. Reichl, C. J. (2000). The principal’s role in creating inclusive schools for diverse students: A review of normative, empirical, and critical literature on the practice of educational administration. Review of Educational Research 70 (1): 55–81.
  17. Ladson-Billings, G. (1995b). But that’s just good teaching! The case for culturally relevant pedagogy.  Theory Into Practice, 34(3), 159-165.
  18. Zeilinger, J. (2015).These Students Were Told They Don’t Fit Their College’s Mold But They’re Fighting Back. November 13 2015. Retrieved from: http://mic.com/articles/128453/these-students-were-told-they-don-t-fit-their-college-s-mold-but-they-re-fighting-back#.44mUgwf7Q
  19. Bidgood, J. (2016). Students Say Racial Hostilities Simmered at Historic Boston Latin School. The New York Times, January 30th 2016. Retrieved from: http://www.nytimes.com/2016/01/31/education/students-say-racial-hostilities-simmered-at-historic-boston-latin-school.html
  • Faircloth, B. S., & Hamm, J. V. (2005). Sense of belonging among high school students representing 4 ethnic groups. Journal of Youth and Adolescence, 34(4), 293-309. 10.1007/s10964-005-5752-7
  • Schmader, T. (2010). Stereotype threat deconstructed. Cur- rent Directions in Psychological Science, 19, 14-18. doi: 10.1177/0963721409359292
  • During the course of writing this article news emerged from Boston Latin School of similar issues. Read more here

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Theresa Cheng
Theresa Cheng

rewards

My first year of teaching, I was all about bribery; I had no problem stocking an endless supply of bulk mixed candy bags, so long as I thought it could help my students learn.

Though the Starburst and Twix caught their attention, I had mixed feelings about using rewards in my classroom. Like many teachers and parents, I wanted my students to take the right steps—like completing their homework, answering review questions, and organizing their notebooks—for themselves. But if my 9th graders were having trouble linking their short term actions to their long term goals, I reasoned, what was the harm in using a couple of fun-sized treats to ease the way? Was I sending the wrong messages about the reasons for doing work? What about healthy eating? And weren’t grades in themselves a kind of reward system, anyway?

Soon enough, bribery fell by the wayside. Instead of relying on tangible rewards to get things done, I could count on my classroom culture and partnerships with families. Still, the occasional promise of getting to pick a prize did make for more riveting review days.

What I didn’t know was that there is rich knowledge on motivation and learning that can tell us when rewards are most useful, and when they’re a distraction or waste of effort. Of course, science isn’t designed to tell us exactly what rewards are appropriate in the classroom, but there’s now enough evidence for teachers, schools, and communities to make an informed decision.

Here’s what we know about how offering concrete, tangible rewards tends to affect behavior:

  1. To make rewards more enticing, offer them ASAP.

Rewards can be effective at changing decision-making and behavior, and it’s a no-brainer that rewards are more effective when they have a high value.

However, a surprisingly important part of this value calculation is when a reward is delivered. The phenomenon of assigning less value to future rewards is called “delay discounting.” Some research suggests that rewards offered immediately are processed using a separate neural system than those involving a time delay.1

So if a powerful reward system is what you’re after, choose something students want and minimize the time between the effort and the gain. The promise of an end-of-year pizza party may be too distant to convince students to work harder now.

  1. When it comes to rewards, be careful what you wish for.

Because rewards are generally effective at producing more of what’s being rewarded, it’s important to be thoughtful about deciding what to reward.

Cognitive scientist and popular book author Daniel Willingham uses this example:

When I was in fourth grade, my class was offered a small prize for each book we read. Many of us quickly developed a love for short books with large print, certainly not the teacher’s intent.2

A reward system based on producing a quantity of work may do little to improve the quality of work,3 and some suggest that it may even incentivize students to sacrifice quality.

  1. Need to learn something boring? Rewards can help.

In one study, offering money improved people’s memory for the answers to trivia questions—but only for uninteresting questions.4 Also, this was only the case after a time delay. On average, people remembered the answers to interesting trivia questions at a similar rate whether or not they were offered money.

This suggests that tangible rewards may be valuable in boosting performance when it comes to learning boring items—but not if the learner is cramming.

Though this hypothesis remains untested, the authors of the study suggest that this may be due to the time it takes to complete a well-known memory stabilizing process. This process requires communication between the midbrain, a part of the brain where reward-related neurotransmitter dopamine is produced, and the hippocampus, an area of the brain often involved in learning and encoding new information). The authors propose that communication between these reward and learning regions might explain their results.4 

  1. In some cases, offering rewards for doing something can reduce the likelihood of it recurring.

We’ve known for decades that in some circumstances, receiving rewards can lower intrinsic motivation, or how much you’re driven to do something based on internal factors (like preference or passion). In a 1973 study, some 3-5 year old children were told that they would receive a certificate for drawing, others received a surprise certificate after drawing, and a third group received no certificate at all.5

Later, when given free access to drawing materials, the children who were told beforehand about the reward spent less time drawing than the others.

Surprisingly, when an anticipated reward goes away, people don’t just revert back to whatever they were doing before. In some cases, they’ll perform the rewarded behavior even less.

This is called sometimes called the “undermining effect” (or sometimes the “overjustification hypothesis”). And it’s particularly true for behaviors that people were motivated to do in the first place. Basically, it suggests that if there’s something you like doing and want to do anyway, working for a reward might reduce how much you do it. 

Recently, researchers have examined this phenomenon in the brain using fMRI.6 In one study, participants played an enjoyable game in the scanner. One group was told they’d be rewarded with money for playing well, while another group was told they’d receive a bonus based on how well someone else played.

Later, both groups played the game in the scanner a second time without bonuses. When scoring in this round, the group whose own performance was previously tied to money had decreased blood flow (suggesting less neural activity) in the striatum and midbrain as compared to the control group. The striatum and midbrain are both thought to be involved in processing reward feedback. Based on these findings, the researchers suggest that initially playing for money decreased the perceived value of scoring in the game.

  1. It’s possible to “undermine the undermining effect” 7

How does the undermining effect work?

Some scientists think that being rewarded for a behavior partially “overwrites” our original motivation. This would suggest that the 3-5 year old children in the study (described in #4) started out believing “Drawing is something I do for fun”. Working for a reward then partially overwrote that motivation with “Drawing is something I do for certificates.” Changes in underlying motivation are thought to be partially responsible for changing how people behave.

One strategy for protecting against the undermining effect might be to actively “overwrite” the motivation with something durable to encourage students to persist even when rewards have vanished.

In one study, giving 3rd-5th grade students a personally-relevant reason to do a tedious handwriting activity (without the promise of a reward) was associated with greater time spent on the activity when they were no longer rewarded.7 This personal reason came in the form of complimenting the students with a trait label either before or after the reward. The researchers said to the students,

You know, I thought you’d say you wanted to do this handwriting activity because you look like the kind of [girl/boy] who understands how important it is to write correctly, and who really wants to be good at it.7

While the limitations of this approach are still unknown, the researchers noted that this was a bit ironic: instead of undermining motivation with a reward, they were able to undermine the reward with motivation!

How should we use rewards in the classroom?

Cognitive scientist Daniel Willingham makes three suggestions for educators when it comes to using rewards in the classroom2:

1) Consider possible alternatives.

2) Use rewards for a specific reason, like conquering the times tables or motivating a student who is no longer willing to try.

3) Have a defined ending that limits how long the incentive system is in play.

Willingham suggests that it makes sense to develop tangible reward structures toward concrete learning goals, like learning the multiplication tables, the elements of the periodic tables, or the events on a historical timeline. When the reward system ends, students might stop engaging in the rewarded behavior—but if it comes at a point when they’re ready to move on anyway, it’s not a problem. When they’ve learned the material and the reward structure ends, the class can move on to more complex, interesting questions that rely on this basic knowledge.2

On the other hand, it might not make sense to use tangible reward structures for teaching lifelong habits. Willingham points out that implementing long-term reward structures cost a lot of time and energy, and the rewarded behaviors tend to stop when the rewards stop. This is not to recommend against responding to positive habits, but to find other ways to do so, like praise.2

In the end, rewards are a complicated and much-debated topic. They can be effective at shaping behavior. But some find their use to be deeply problematic. And, as Education Week teacher and author Justin Minkel points out, rewards are a lousy substitute for cultivating a profound love of learning.

That said, science adds a perspective that can help educators reflecting on how and when they’d like to use rewards—if at all.

 

References & Further Reading

  1. McClure, S. M., Laibson, D. I., Loewenstein, G., & Cohen, J. D. (2004). Separate Neural Systems Value Immediate and Delayed Monetary Rewards. Science, 306, 503–507. [Paper]
  2. Willingham, D. T. (2007). Should Learning Be Its Own Reward? [Link]
  3. Jenkins, G. D. J., Gupta, N., Mitra, A., & Shaw, J. D. (1998). Are financial incentives related to performance? A meta-analytic review of empirical research. Journal of Applied Psychology, 83(5), 777–787. [Paper]
  4. Murayama, K., & Kuhbandner, C. (2011). Money enhances memory consolidation–but only for boring material. Cognition, 119(1), 120–4. [Paper]
  5. Lepper, M. R., Greene, D., & Nisbett, R. E. (1973). Undermining children’s intrinsic interest with extrinsic reward: A test of the “overjustification” hypothesis. Journal of Personality and Social Psychology, 28(1), 129–137. [Paper]
  6. Murayama, K., Matsumoto, M., Izuma, K., & Matsumoto, K. (2010). Neural basis of the undermining effect of monetary reward on intrinsic motivation. Proceedings of the National Academy of Sciences of the United States of America, 107(49), 20911–6. [Paper]
  7. Cialdini, R. B., Eisenberg, N., Green, B. L., Rhoads, K., & Bator, R. (1998). Undermining the Undermining Effect of Reward on Sustained Interest. Journal of Applied Social Psychology, 28(3), 249–263. [Paper]
  • Deci, E. L., Koestner, R., & Ryan, R. M.. (2001). Extrinsic Rewards and Intrinsic Motivation in Education: Reconsidered Once Again. Review of Educational Research71(1), 1–27. [Paper]

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Rose Hendricks
Rose Hendricks

STEAM

It is no secret that American students’ math and science standardized test scores don’t break any records1,2. In 2012, the US scored below average for developed countries in math and close to average in science. We also know that many of the most pressing problems facing us today and in the future, from halting climate change to combatting terrorism, require science, technology, engineering, and math (STEM) mastery and innovation. For this reason, educators and policymakers continue to increase their emphasis on STEM education.

Students’ time in school is finite, so spending more time learning to program or construct electrical circuits often means spending less time reading literature and engaging in arts, as these activities are often considered less practical. This STEM myopia can also be problematic, as those “less practical” fields may impart critical thinking and creativity3, perseverance, teamwork, and commitment4 in ways that STEM fields may not.

This understanding has prompted the STEAM movement, dedicated to incorporating the arts into a STEM educational framework.

I had the opportunity to talk with Nan Renner, a researcher at UC San Diego’s Center for Research on Educational Equity, Assessment and Teaching Excellence (CREATE). Nan’s work is focused on how we learn by interacting with the world – using language, objects, environments, and other people. With an initiative called the Art of Science Learning, she directed an Incubator for Innovation in San Diego to bring community members together to seek creative solutions for the water crisis in the region. She also teaches undergraduate courses in Cognitive Science. One course is called Distributed Cognition, a class that expands how we think about thinking to include our bodies and social and cultural contexts. Another is Cognitive Ethnography, a project-based research course that encourages students to understand human cognition through observing and analyzing behaviors. Collectively, her work is an exemplar for STEAM proponents, demonstrating not only a seamless integration of sciences and arts, but also working towards making STEAM a natural part of education.

What is STEAM, really?

Defining STEAM as simply the integration of arts with STEM fields is an oversimplification, especially for those of us who have been raised on the distinctions between the subjects. Traditionally, students learn science in science class and art in art class.

How could these very different subjects be combined?

There are some obvious ways to integrate them: students can use physical materials like clay or styrofoam to make models of cells or the solar system, and they can learn songs about concepts like Avogadro’s number. But Nan pointed out that we should think more broadly about what arts really are when trying to make education more “STEAM-y.” Instead of always incorporating art per se, we can incorporate an artistic spirit into STEM lessons. Art encourages and requires exploration, an emotional engagement and sense of ownership, and flexibility, all of which are key ingredients for success in science. For this reason, these same attributes should be components of STEM education.

Factor 1: Exploration

When we take a paintbrush to a canvas, a bow to a violin, or our eye to a camera lens, we are exploring. We explore the world around us, our bodies, and the media that we’re using to create the art. At an abstract level, it is this exploration that STEAM advocates promote for science classrooms. The goal of science is to predict and explain phenomena in the world, and that can’t happen without exploration.

To illustrate the value of exploration, Renner told me about the Hands On Lab, a mini science course for high school students held by CREATE at UCSD. Students learned about molecular self-assembly by creating and exploring bubbles and observing how dish soap alone could move boats across water. They also used microscopes to examine cells from fruits and vegetables, comparing and contrasting cells from the tougher outsides to the fleshier insides. By getting their hands dirty (or wet), students were able to explore the scientific principles in an unstructured way, freely experimenting with contrasts and causality. These activities create a foundation that students can build on once they learn more structured scientific terms and processes for explaining those phenomena.

Factor 2: Emotional Engagement & Ownership

Another key feature of art is that someone (or some people) created it. Regardless of whether the piece of art is a knitted scarf, a Broadway musical, a digitally rendered graphic, or a gourmet meal, the artist becomes emotionally invested in the project, leading to a strong feeling of ownership. Children especially are often rightfully proud of their artwork. These feelings of engagement and ownership are crucial to science as well, and they were central to a series of workshops also held at UCSD called Informath. Educators who participated in Informath gathered for workshops with the goal of creating professional development programs that brought art and math together to enhance learning. They received materials like paper strips, straws, and pipe cleaners, and after “playing” for a little while, had arrived at intriguing ways to teach concepts like fractals, recursive relationships, and geometric proofs.

Using the materials to make their models meant that those sculptures were now theirs – not only did the educators own the finished products, but they also owned the processes they had taken to arrive at them. As in the Hands On Lab, the lessons that the teachers created at Informath fostered ownership and engagement through a personal exploration process.

Extensive research on Self Determination Theory has focused on uncovering the social-contextual conditions that enhance individuals’ motivation and development5. One of these conditions is autonomy, which can be facilitated by granting students choices so that they have ownership over their exploration processes and means for expressing what they have learned6. Science lessons that revolve around art and exploration will introduce ownership into the classroom, instilling motivation, curiosity, and deeper understandings.

Factor 3: Flexibility

Flexibility is yet another hallmark of art. When you’re in a musical ensemble or a theater troupe, for example, you need to be constantly aware of the whole, and adapt so that you fit in. Likewise, scientific exploration requires this constant awareness of how new pieces of information fit into existing knowledge frameworks and the willingness to alter hypotheses or procedures as new information is accounted for.

These traits are central to the Incubator for Innovation, a project that Nan was involved with through the Art of Science Learning. In San Diego, the incubator’s focus was on the mismatch between supply and demand for water, a challenge chosen by public vote. The Incubator participants included scientists, artists, educators, and students who were invested in the problem. The teams learned arts-based techniques that they used to continuously come up with ideas, test them, and communicate about them. Iteration was a crucial component of the incubator: as teams tested their ideas and continued to learn about what did and did not work, they continually improved their innovations.

Similar incubators took place to address problems of access to fair and equitable nutrition (in Chicago) and new transportation solutions (in Worcester, MA). In 2016, a traveling exhibit will showcase the projects that came out of all 3 incubators and emphasize the importance of bringing creativity to science and innovation. Collaborating, iterating, and incorporating new information into prototypes are all crucial components of the incubator that drive home the importance of flexibility for innovation and success.

Creating a STEAM-ier classroom

A few times during our conversation, we circled back to a resounding theme: The most crucial part of STEAM is integration. Nan pointed out that “when we engage in real-world problem-solving, the disciplinary boundaries fade into the background. We blend and merge creative and critical thinking, representing ideas with words, metaphors, numbers, images, forms. We can be inquisitive and thoughtful about what these different modalities offer, in education and the workplace, and expand our collective repertoire for identifying and solving big challenges.”

How can we accomplish this in our STEAM lessons?

  • Keep the goals of exploration, emotional engagement, and flexibility at the forefront when designing STEM lessons and incorporate hands-on lessons whenever appropriate.
  • De-emphasize curricular boxes – although there will inevitably be certain topics and lessons that fall within our definition of science or math more than others, help students to be holistic thinkers by encouraging them to answer questions using whatever knowledge and tools they have available, as opposed to sticking to the confines of one traditional subject.
  • Try metaphorming – a form of brainstorming that involves making multi-dimensional, freeform, symbolic models and can lead to deeper insights and more creativity.
  • Promote the arts – students who learn to play as part of an orchestra, who gain confidence in ballet class, or who become comfortable getting their hands dirty with a pottery wheel will take those lessons and mindsets with them to the science classroom.
  • As a teacher, take some creative liberties when planning science lessons. Students will learn best by observing a role model who incorporates arts and science (for inspiration, check out the #sciart hashtag on Twitter).

One intuition might be that the key to improving STEM education is to focus students’ time more on STEM subjects and less on the arts. However, we have solid evidence suggesting that STEM and arts aren’t incompatible ends of a spectrum, but instead can – and should – be integrated. When we integrate arts, and more broadly, an artistic mindset, into science lessons, we open the door for exploration, emotional engagement and ownership, and flexibility; indispensible skills for success in science and in life more generally.

The STEAM movement suggests that arts and sciences may have a synergistic relationship – even better when combined than each in isolation. The movement reminds us that when it comes to treasured school subjects – arts and sciences – we can have our cake and eat it too.

 

References & Further Reading

  1. Chappell, B. (2013). U.S. Students Slide In Global Ranking On Math, Reading, Science. NPR. [Article]
  2. Desilver, D. (2015). U.S. students improving – slowly – in math and science, but still lagging internationally. Pew Research Center. [Article]
  3. Zakaria, F. (2015). Why America’s obsession with STEM education is dangerous. The Washington Post. [Article]
  4. Williams, Y. (2014). Rhythm and bruise: How cuts to music and the arts hurt kids and communities. Huffington Post Education. [Article]
  5. Ryan, R.M. & Deci, E.L. (2000). Self-Determination Theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1), 68-78. [Paper]
  6. Stefanou, C.R., Perencevich, K.C., DiCintio, M., & Turner, J.C. (2004). Supporting autonomy in the classroom: Ways teachers encourage student decision making and ownership. Educational psychologist, 39(2), 97-110. [Paper]
  • Beilock, S. (2015). How the body knows its mind: The surprising power of the physical environment to influence how you think and feel. [Book]
  • STEAM to STEAM [Organization]

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landb
landb

MEDIA ADVISORY

January 25, 2016

Contact:

Kristin Dunay

(781)-449-4010 x 104

[email protected]

SHAPING STUDENT MINDSETS: PROMOTING ACADEMIC ATTITUDES, PERSISTENCE AND PERFORMANCE

WHAT:

Researchers have shown that changing student mindsets (beliefs and attitudes about themselves, their feelings about school and their sense of social belonging) can motivate students to work harder, be more persistent and achieve more. Students who have been told that their brains can change and therefore had a “growth mindset” (a belief that their success is based on effort and not talent or IQ) were more likely to have successful outcomes than those who were not told.

Next month, a distinguished group of academics in psychology and education will explore the science behind how mindsets can help boost academic motivation, persistence and performance and raise student achievement before 2,000 educators at the Learning & the Brain® Conference in San Francisco, CA.

SPONSORS:  The program is co-sponsored by several organizations including the School of Education at Stanford University, Building Blocks of Cognition at the University of California, Berkeley, both the Laboratory of Educational NeuroScience and the Gazzaley Cognitive Neuroscience Lab at the University of California, San Francisco, The Neuroscience Research Institute at the University of California, Santa Barbara, the Mind, Brain and Education Program at Harvard Graduate School of Education, the Comer School Development Program at Yale University School of Medicine, The Dana Foundation’s Dana Alliance for Brain Initiatives, Edutopia and The George Lucas Educational Foundation, the Learning & the Brain Foundation and both national associations of elementary and secondary school principals. The event is produced by Public Information Resources, Inc.
FACULTY: 

Renowned Researcher Carol Dweck, PhD, will present on “The Psychology of Mindsets and Achievement” during a keynote on Saturday, February 13. Dr. Dweck, author of Mindset: The New Psychology of Success (2006) and one of the world’s leading researchers in the field of motivation and how to foster success, will discuss how educators can adopt a deeper growth mindset to aid in classroom practice and to support students for a more successful educational experience. Dr. Dweck is the Lewis and Virginia Eaton Professor of Psychology at Stanford University.

In addition to Dr. Dweck, the program features some other leading experts on the learning sciences including:

Ron E. Ritchhart, EdD, Senior Research Associate, Harvard Project Zero, Harvard Graduate School of Education; Author, Creating Cultures of Thinking: The 8 Forces We Must Master to Truly Transform Our Schools (2015), Making Thinking Visible (2011) and Intellectual Character (2004)

Christine L. Carter, PhD, Sociologist; Senior Fellow, Greater Good Science Center, University of California, Berkeley; Author, The Sweet Spot: How to Find Your Groove at Home and Work (2015) and Raising Happiness: 10 Simple Steps for More Joyful Kids and Happier Parents (2011)

Joshua M. Aronson, PhD, Associate Professor of Applied Psychology; Director, Metro Center for Achievement Research and Evaluation, Steinhardt School of Culture, Education and Human Development, New York University; Author, “The Threat of Stereotype” (2004, Educational Leadership); Co-Author, “Minding and Mending the Gap” (2015, Contemporary Educational Psychology); Editor, Improving Academic Achievement (2002)

Kelly M. McGonigal, PhD, Award-winning Psychology Lecturer, Stanford University, including the Stanford Center for Compassion and Altruism Research and Education and the Stanford School of Medicine’s Health Improvement Program; Co-Founder, Stanford Women’s Wellness Network; Author, The Upside of Stress: Why Stress is Good for You and How to Get Good at It(2015), The Willpower Instinct (2013) and The Neuroscience of Change (2012)

Kathleen Cushman, BA, Editor; Documentarian; Co-Founder, What Kids Can Do; Author, The Motivation Equation: Designing Lessons that Set Kids’ Minds on Fire (2013); Co-Author, Belonging and Becoming: The Power of Social and Emotional Learning in High Schools (2015)

Robert B. Brooks, PhD, Psychologist; Faculty, part-time, Harvard Medical School; Co-Author, “The Power of Mindsets: Nurturing Student Engagement, Motivation and Resilience in Students” (2012, Handbook of Research on Student Engagement), Raising Resilient Children (2001), The Power of Resilience: Achieving Balance, Confidence, and Personal Strength in Your Life (2004), Raising a Self-Disciplined Child (2007) and Handbook of Resilience in Children (2012)

WHEN: Friday, February 11 – Sunday, February 13. Conference begins 1:30 PM. Due to high demand, the conference is now sold out. Contact Kristin Dunay at 781-449-4010 x 104 for media passes.
WHERE: Fairmont Hotel, San Francisco, CA
Learning & the Brain® is a series of educational conferences that brings the latest research in the learning sciences and their potential applications to education to the wider educational community. Since its inception in 1999, more than 50,000 people in Boston, San Francisco, Washington, D.C., New York and Chicago have attended this series.

 

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Rina Deshpande
Rina Deshpande

child meditate

When picturing a kindergarten classroom in America, chances are you imagine messy finger paint on tables, blocks clinking on the rug, oversized read-aloud books, and little kids climbing through colorful Rubbermaid jungle gyms. (Perhaps you imagine a young Arnold being trampled by 5-year-olds in Radio Flyer wagons).

When picturing mindfulness meditation, you might imagine a serene-faced adult seated cross-legged on an amber silk pillow. Her eyes are closed and she is perfectly impervious to distractions in her surrounding environment.

Most young children have loads of rambunctious energy, hungry for answers to curious questions. And with or without silk props, many meditation practices are designed to cultivate stillness and silence within.

It’s therefore natural to question not only if young children should meditate, but also if young children can meditate. In this article, we’ll explore the evidence for both.

Brain Development in Early Childhood

The first years of a child’s life are crucial to setting up a strong foundation for relationships, learning, and mental health. According to the Center on the Developing Child, neuroscientists have found that typically 700 synaptic connections between brain cells are created every second in a child’s beginning years of life.1 (If you’re trying to do the math, that’s about a few hundred trillion connections by age 3.) Eventually, this period of synaptic exuberance subsides as the brain naturally prunes away unused connections, a mechanism popularly referred to as “use it or lose it.”

Brain development is shaped by biology, environment, and external experiences and is studied in a number of ways, including a growing field of research known as s. Epigenetics is a subfield of genetics that studies things like how non-genetic factors, typically at the cellular level, can affect the way a given DNA sequence, and therefore the way a gene, is expressed. According to the Center on the Developing Child, “positive experiences, such as exposure to rich learning opportunities, and negative influences, such as malnutrition or environmental toxins, can change the chemistry that encodes genes in brain cells — a change that can be temporary or permanent. This process is called epigenetic modification.”2

Young children experiencing adversity such as neglect, poverty, parental substance abuse, or prolonged periods of stress may be susceptible to a “toxic stress response.” Toxic stress can be as harmful as it sounds, destroying brain cells and significantly disrupting brain circuitry in foundational years, leading to emotional and mental health complications such as anxiety and depression in childhood or even later in adulthood.3

Development in early years often predicts emotional, academic, and social well-being and even physical health in adulthood. Jack Shonkoff, M.D., professor at Harvard Graduate School of Education and Director of Harvard’s Center on the Developing Child explains, “Biologically, the brain is prepared to be shaped by experience. It’s expecting the experiences that a young child has to literally influence the formation of its circuitry…If a child is preoccupied with fears or anxiety or is dealing with considerable stress, no matter how intellectually gifted that child might be, his or her learning is going to be impaired by that kind of emotional interference.”4

Learn more about the basics of early childhood brain development with Dr. Shonkoff in this short video from the Center on the Developing Child.4

Shonkoff recognizes that supporting healthy cognitive development in children is not separate from social and emotional development, making the case for intervention for children in early years. So is mindfulness the type of intervention that might help?

Mindfulness as Early Childhood Intervention

Contemplative practices – an umbrella term for practices like yoga and mindfulness meditation – have been studied primarily in adult and adolescent populations over the last few decades and are associated with increased activation in brain regions related to executive functioning.5 Executive functions (EFs) are a range of activities such as planning, decision-making, and self-regulation of attention, emotions and behaviors. As a result of positive findings in older populations, new research investigates the effectiveness of mindfulness interventions on executive functioning in elementary and early childhood settings.

Self-regulation, a type of executive functioning, is broadly considered to be the integration of flexible attention, working memory, and ability to inhibit one’s impulses. Self-regulation in preschool-aged children has been strongly correlated with academic success as measured by progress in emergent literacy and math. An even stronger predictor than IQ, self-regulation in beginning years of life is one of many functions that can predict math and reading achievement in elementary and middle school.6

Mindfulness practices have had mixed results in effectiveness on executive functioning in child populations, in part due to weaker design without control groups for comparison and due to reliance on self- or parent-reported data. Without a control group that receives alternative or no treatment, it’s hard to determine if any changes are linked to the actual mindfulness treatment or whether the changes would happen regardless. And with self-reported data like questionnaire and survey responses, it’s hard to calibrate if one person’s perception of “strongly agree” is the same as another’s. It’s utility as a measure of effectiveness, however, is revealing trends and prompting further precision investigation.

In a recent study by Lisa Flook et al. (2010), for example, early elementary children received training Mindful Awareness Practices that included breathing awareness, body awareness and movement, and awareness of environment. Results revealed that, according to teacher and parent reports, children who started the program with difficulties in self-regulation showed significant improvement.7

This preliminary study call for more research on mindfulness as an effective intervention in even younger child populations – a way to offer children experiencing adversity a way to self-regulate their emotions and behaviors, potentially preventing disruptions to healthy brain development.

But can young children really meditate?

Given what we know about young children’s development and naturally quick shifts in attention, even 10 minutes of seated silence with children ages 3-5 seems unrealistic. To manage the concern of long periods of quiet, shorter adaptations of meditation practice have been designed to help introduce children to meditational techniques by reading a related story, participating in walking and observation meditations, playing games like “breathing buddies,” as well as reflective activities.8

It’s important to remember, however, that in many Eastern classrooms, children are often introduced to more traditional meditational practices at an early age. In a recent research study by Tang et al (2012), 4.5-year-olds in China were trained in integrative body-mind therapy (IBMT) sessions adapted from the original Zen training program for adults. Standard IBMT sessions consist of 5 minutes of modeling and directions by an instructor, 20 minutes of silent meditation or meditation with soothing music, and 5 minutes of reflection. Young children participated in twenty 30-minute sessions – a total of 10 hours of mindfulness practice – over the course of a month. In contrast to a control group, the mindfulness group’s performance on two stimulus-discrimination Stroop Tasks to measure attention significantly improved. The mindfulness training group also showed significant increases in effortful self-control (an executive function) as reported by their parents.9

Research is still required to confirm the beneficial impact of integrative body-mind therapy (IBMT) on child brain development, though preceding neuroimaging studies of IBMT in adults demonstrated promising results. After just one month of practice, fMRI on adult participants revealed enhanced functional connectivity between the anterior cingulate cortex and striatum as compared to a control group receiving relaxation activities, suggesting that the mindfulness training may enhance focused attention.10

Yi-Yuan Tang and her team plan to study IBMT in American settings in order to determine the impact of mindfulness on self-regulation in early childhood across cultures.

What does meditation with young children look like?

Mindfulness can take various forms, silence in a seated posture being one of them. Paying attention to the breath or sounds within our outside of the body is another form. Walking mindfully with each step is another. Mindfulness is simply paying attention, without judgment, to the present moment.11

In the last decade, various organizations and programs have emerged to support mindfulness in classrooms. One such organization begun in 2008, Mindful Schools, offers certification and video resources on how to teach mindfulness to elementary-age children. The following sample video offers student-friendly listening to the sounds of bells and sharing their experiences, and it all takes less than fifteen minutes: K-5 Mindfulschools.org Lesson.12 Scroll down and click on the K-5 Curriculum Demo. At 5:33, you can get a sense of how students receive scaffolding support to move from listening to sounds outside of themselves to listening for sounds inside of themselves).

If meditating silently on external or internal sounds feels less appropriate as a mindfulness introduction to your students, consider adapting mindful practice ideas to meet your young students where they are. For example, you might play a familiar song and have your students gently tap their noses each time they hear a particular note or word. To help encourage awareness and regulation of attention, perhaps sing overlapping rounds of “Row, row, row your boat,” allowing children to learn strategies for how to focus their attention on their part. Equally important is supporting children as they learn to re-focus their attention when they’re momentarily distracted (if you’ve played this singing game before, you know how challenging it can be!). Mindfulness is not simply sitting perfectly still; music and movement often make ideal mindfulness entry points for elementary-age children.

As mindfulness research in early childhood settings continues to grow, so shall science-based, kid-friendly resources for the classroom. Improvement of programs and refinement of research is undoubtedly the ongoing goal, but waiting for perfected materials means waiting to offer potentially life-altering resources to our children while they’re still children. Let’s help them evolve into healthy adults by offering them simple mindfulness tools now.

 

References & Further Reading

  1. Center on the Developing Child (2009).Core Concepts in the Science of Early Childhood Development. [Multimedia Article]
  1. Center on the Developing Child (2009).Deep Dive: Gene-Environment Interaction. [Article]
  1. Shonkoff, J., & Garner, A. (2012). The lifelong effects of early childhood adversity and toxic stress.Pediatrics, 129(1), E232-E246. [Paper]
  1. Shonkoff, J. (2009, October 1). Center for the Developing Child: The Science of Early Childhood Development. [Video]
  1. Lazar, S. W., Bush, G. L., Gollub, R., Fricchione, G., Khalsa, G., & Benson, H. (2000). Functional brain mapping of the relaxation response and meditation. NeuroReport,11(7), 1581-1585. [Paper]
  1. McClelland, M. M. and Cameron, C. E. (2012), Self-Regulation in Early Childhood: Improving Conceptual Clarity and Developing Ecologically Valid Measures. Child Development Perspectives, 6: 136–142. [Paper]
  1. Flook, L., et al. (2010). Effects of mindful awareness practices on executive functions in elementary school children. Journal of Applied School Psychology, 26(1), 70-95. [Paper]
  1. Elizabeth Willis & Laura H. Dinehart (2014) Contemplative practices in early childhood: implications for self-regulation skills and school readiness, Early Child Development and Care, 184:4, 487-499 [Paper]
  1. Tang, Y., Yang, L., Leve, L., & Harold, G. (2012). Improving Executive Function and Its Neurobiological Mechanisms Through a Mindfulness‐Based Intervention: Advances Within the Field of Developmental Neuroscience.Child Development Perspectives, 6(4), 361-366. [Paper]
  1. Tang, Y., Lu, Q., Geng, X., Stein, E., Yang, Y., & Posner, M. (2010). Short-term meditation induces white matter changes in the anterior cingulate.Proceedings of the National Academy of Sciences of the United States of America,107(35), 15649-52. [Paper]
  1. Kabat-Zinn, J. (2003). Mindfulness-based interventions in context: Past, present, and future.Clinical Psychology-Science And Practice, 10(2), 144-156. [Paper]
  1. Cowan, M. K-5 Curriculum Demo: Class One – Mindful Bodies and Listening – 1st Grade Classroom. [Resource]

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Kathryn Mills
Kathryn Mills

IQ book

Many believe that intelligent quotient (IQ) tests tell you something about an individual’s inherent, and perhaps unchanging, intellectual capacity. But is intelligence really fixed? Current research suggests it’s not.

IQ was once thought to be stable across the lifespan. Then, in 2011 a study tested participants twice in adolescence and found substantial changes in IQ across time for a third of the sample1. There was an overall increase in the group’s IQ between early adolescence (12-16 years) and late adolescence (16-20 years), with some individuals gaining or losing as much as 18 IQ points! This is substantial, as by many scoring standards, that’s more points than make up a full standard deviation (for reference, approximately 68% of the population is within one standard deviation of average IQ).

These changes in IQ were also associated with changes in brain structure, suggesting an underlying neural mechanism for changes in intelligence across adolescence1. This finding has since been replicated in a larger group of individuals covering a wider age range2.

The roles of nature and nurture

Both genetics and the environment have an influence on IQ. However, this influence changes across development, with genetic influences generally becoming a greater influence as we get older3. There is also some evidence that individuals with high IQ are influenced by the environment longer than individuals with low IQ4.

In a study of children aged 4-12 years, both low and high IQ children showed similar levels of environmental influences on their IQ. However, the teenagers (aged 12-18 years) with low IQ were much less influenced by the environment than high IQ teenagers, who showed similar levels of environmental influences as high IQ children4. Both low and high IQ adults (aged 18+ years) showed similar (low) levels of environmental influence on IQ.

In other words, according to this research, the environment may have the greatest impact on IQ in childhood, have a continued impact on IQ for high scoring teenagers in particular, and then balance out again to have a lower impact across adults.

It has been suggested that the extended period of heightened environmental influence in high IQ individuals might reflect an extended period of neural plasticity in these individuals. This idea seemed to be supported by an early study investigating brain development in groups of individuals with varying IQ levels5. This study appeared to find evidence for more protracted brain development in groups of children with higher IQs, suggesting that children with higher IQs showed a longer period of “cortical thickening” compared to children with lower IQs5. Cortical thickening is related to the grey matter (made of primarily of neuronal cell bodies) of the outermost layer of tissue in the brain, which is involved in many complex cognitive functions. However, the methods involved in this study have been recently been called into question6,7, and the results have not replicated8. This sort of trajectory is common in research, and a reminder to look across studies and time for potentially useful patterns.

A more recent study similarly found a relationship between cortical development patterns and IQ, but with different patterns than what was observed in the earlier study8. In children, cortical thinning is associated with higher IQ, whereas in adults, cortical thickening is associated with higher IQ8. These results highlight the importance of timing in our understanding of how brain changes could relate to cognitive changes, as one type of brain change in childhood could mean something completely different in adulthood. Indeed, changes in cortical thickness was a better predictor of an individual’s IQ than the actual thickness8.

Overall, the individuals with the highest IQs in this study also showed the largest changes in brain structure across the lifespan8. This could suggest that greater neural plasticity at any age is associated with greater intelligence.

Moving Forward

So how can we increase our neural plasticity? It has been suggested that continued education keeps the brain plastic longer9. This could be true, but the needed studies to test this hypothesis are lacking. To see if prolonged education affects the development of our brain, we would need longitudinal studies tracking individuals with differing education levels between childhood and adulthood.

Until that study exists, the best we can do is draw from existing studies examining changes in intelligence in relation to changes in brain structure and function. While education could theoretically change our level of brain plasticity and intelligence, recent work suggests that our genes also play a large role. One longitudinal study of twins found a relationship between changes in total brain volume and IQ, which appeared to be driven by genes influencing both IQ and brain volume10. A different twin study found evidence for the same genes that influence an adults general intelligence level are also involved in the structural integrity of brain networks11.

In the meantime, it seems fair to conclude at least one thing: intelligence is not set in stone. And behaving as though our own and our students’ brains can continue to improve and learn with the proper supports certainly can’t hurt.

References & Further Reading 

  1. Ramsden, S., Richardson, F. M., Josse, G., Thomas, M. S. C., Ellis, C., Shakeshaft, C., … Price, C. J. (2011). Verbal and non-verbal intelligence changes in the teenage brain. Nature, 479(7371), 113–116. [Paper]
  2. Burgaleta, M., Johnson, W., Waber, D. P., Colom, R., & Karama, S. (2014). Cognitive ability changes and dynamics of cortical thickness development in healthy children and adolescents. NeuroImage, 84, 810–819. [Paper]
  3. McClearn, G. E., Johansson, B., Berg, S., Pedersen, N. L., Ahern, F., Petrill, S. A., & Plomin, R. (1997). Substantial Genetic Influence on Cognitive Abilities in Twins 80 or More Years Old. Science, 276(5318), 1560–1563. [Paper]
  4. Brant, A. M., Munakata, Y., Boomsma, D. I., Defries, J. C., Haworth, C. M. A., Keller, M. C., … Hewitt, J. K. (2013). The nature and nurture of high IQ: an extended sensitive period for intellectual development. Psychological Science, 24(8), 1487–1495. [Paper]
  5. Shaw, P., Greenstein, D., Lerch, J., Clasen, L., Lenroot, R., Gogtay, N., … Giedd, J. N. (2006). Intellectual ability and cortical development in children and adolescents. Nature, 440(7084), 676–679. [Paper]
  6. Ducharme, S., Albaugh, M. D., Nguyen, T.-V., Hudziak, J. J., Mateos-Pérez, J. M., Labbe, A., … Brain Development Cooperative Group. (2015). Trajectories of cortical thickness maturation in normal brain development – The importance of quality control procedures. NeuroImage, 125, 267–279. [Paper]
  7. Mills, K. L., & Tamnes, C. K. (2014). Methods and considerations for longitudinal structural brain imaging analysis across development. Developmental Cognitive Neuroscience, 9, 172–190. [Paper]
  8. Schnack, H. G., van Haren, N. E. M., Brouwer, R. M., Evans, A., Durston, S., Boomsma, D. I., … Hulshoff Pol, H. E. (2014). Changes in Thickness and Surface Area of the Human Cortex and Their Relationship with Intelligence. Cerebral Cortex. [Paper]
  9. Steinberg, L. (2014). Age of Opportunity: Lessons from the New Science of Adolescence. Mariner Books.
  10. Brouwer, R. M., Hedman, A. M., van Haren, N. E. M., Schnack, H. G., Brans, R. G. H., Smit, D. J. A., … Hulshoff Pol, H. E. (2014). Heritability of brain volume change and its relation to intelligence. NeuroImage, 100, 676–683. [Paper]
  11. Bohlken, M. M., Brouwer, R. M., Mandl, R. C. W., Hedman, A. M., van den Heuvel, M. P., van Haren, N. E. M., … Hulshoff Pol, H. E. (2016). Topology of genetic associations between regional gray matter volume and intellectual ability: Evidence for a high capacity network. NeuroImage, 124, Part A, 1044–1053. [Paper]
  • Fjell, A. M., Westlye, L. T., Amlien, I., Tamnes, C. K., Grydeland, H., Engvig, A., … Walhovd, K. B. (2013). High-Expanding Cortical Regions in Human Development and Evolution Are Related to Higher Intellectual Abilities. Cerebral Cortex. [Paper]
  • Tamnes, C. K., Fjell, A. M., Østby, Y., Westlye, L. T., Due-Tønnessen, P., Bjørnerud, A., & Walhovd, K. B. (2011). The brain dynamics of intellectual development: waxing and waning white and gray matter. Neuropsychologia, 49(13), 3605–3611. [Paper]
  • Neuroskeptic. (2012) How intelligent is IQ? [Blog Post]

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Theresa Cheng
Theresa Cheng

miscommunications

Academics have a reputation for using overly technical language. Just as any career comes with its own terminology, scientific fields often use highly precise and specialized vocabulary that is not easily comprehensible to anyone else. Unfortunately, in science this poses a unique issue because findings are often interpreted and applied outside of the field.

It’s a problem with a relatively straightforward (though incomplete) solution: explanation in simpler terms.

In addition to traditional science journalism, efforts such as Ten Hundred Words of Science, The People’s Science Forum, and our very own Learning & the Brain blog address this communication barrier in part by explaining and reducing jargon in sharing scientific research.

However, for educators and scientists looking to communicate about the science of learning, there’s another complicated language issue: when academics and educators use familiar words, but with different meanings attached. Subtle differences in how these professional worlds tend to use key terms may, inadvertently or not, overstate the findings of scientific work and lead to miscommunication.

Let’s take a look at three examples.

Example 1: Self-directed learning

How do educators think about the term “self-directed learning”? Here’s how Mindshift, a popular education blog affiliated with National Public Radio (NPR) and the Public Broadcasting Service (PBS), has used the term “self-directed learning” in a several 2015 articles:

  • An article about Nick Bain, a student who experimented with taking a completely self-taught trimester of his junior year in high school.
  • Examples of how teachers in Boise, Idaho, are structuring their classes to release responsibility to students, teaching them lead and guide their own learning even in a low-income school. This includes implementing Google’s 20% time to allow students to pursue their own interests and learning.
  • A two-part series about learning environments that offer the world’s most marginalized children tremendous choice and autonomy in their schooling, from egalitarian school structures to experiments in radical un-schooling.

These articles reflect how educators use and understand the term “self-directed learning”—as a kind of learning in which students take on a high level of personal responsibility and face a broad array of choices.

How do cognitive scientists use the term “self-directed learning”?

A recent review on self-directed learning was published in Perspectives on Psychological Science1 (results of this paper are summarized here, and point to potential pros and cons of self-directed learning). Notice how the same term is used in this context:

  • In traditional cognitive science memory tasks, study participants are often presented with flashcards one at a time. As a more self-directed alternative, study participants choose the timing and order of the terms they wanted to study.
  • Cognitive scientists are interested in how people learn to identify different categories, like how to tell the difference between a cat and a dog, or a nail and a bolt. Typically, this takes place by presenting people with lots of examples of objects, one at a time. Some scientists studying self-directed learning instead gave study participants the opportunity to select the objects they wanted to learn about.
  • Another major topic in cognitive science is causal learning—how do people figure out causal relationships between different things? Some causal learning occurs just by observing when different variables seem to change together. Studies of more self-directed approaches to causal learning allowed participants to change one variable and observe the consequences.

Here, the term “self-directed learning” generally refers to a highly limited set of learning choices. Rather than having almost no choices as an entirely passive learner being presented with material, people in studies of self-directed learning are typically given a small number of simple choices.

While this might seem like an impoverished view of “self-directed learning,” even these simple choices introduce many new variables for scientists to study. For example, when study participants choose which flashcards to use, scientists were faced with many additional considerations—what aspect of how people used the flashcards explained how well different people learned the material? Was it the order, timing, and/or spacing of how people chose to study that made a difference?

Example 2: Executive functions

“Executive functions” is an umbrella term for cognitive processes that regulate thoughts and actions. The usage of this term in educational contexts tends to focus on higher-level processes like planning, judgment, decision-making, and self-regulation.

However, much of the work on executive functions in cognitive neuroscience focuses on more basic processes.2 For example, one commonly studied component of executive functions is called inhibition, or how people suppress simple impulses. One common way of studying inhibition is called the “go/no-go task”. In this task, participants are instructed to press a button in response to some stimuli, and then not to press the button in response to other stimuli (I’ve previously written about a study using this task).

Much research on executive functions does not directly report on some of the higher-level regulatory skills educators might be interested in. Many executive functions, like inhibition, are thought to be building blocks of higher-level tasks, like planning. However, they’re not identical; while these skills are likely related, it doesn’t always make sense to lump them together.

Example 3. Musical ability

The perception of pitch is thought to have a genetic basis. On average, identical twins sharing nearly their entire DNA perform more similarly on a pitch recognition task than fraternal twins, which share approximately half of their DNA.3 And this tends to be true even when one identical twin has invested a lot more time in musical practice than the other.

Does this mean that musical ability is inherited?

It’s tempting to say so, and some articles reporting on similar findings do take this route.

But in an interview with Carry the One Radio, neuroscientist and professional musician Indre Viskontas says that using these lower-level perceptual skills to judge musical ability is “a little like testing the eyesight of a painter to gauge whether or not they’re a good painter, a good artist…I wouldn’t even say that that gets really even that close to what we’d call musicality.”4

What we consider a musically gifted performance of course relies in part on the artists’ sensitive hearing, but these two “musical abilities” are quite different in their level of complexity.

Tomato, tomahto. So what?

What’s the pattern here? Some of the same terms that represent highly simplified concepts in the cognitive sciences tend to signify or are mistakenly equated with very complex versions of that idea in the education world.5 Exaggeration occurs if conclusions from research in the cognitive sciences are, inadvertently or not, generalized to a much higher level without an empirical basis.

When cross talk happens, it’s not always clear the extent to which people are talking about the same thing. But they’re using the same words—and often nobody clarifies (or knows to)!

Preventing misunderstanding

While new studies can be incredibly exciting, we should interpret them cautiously. Neuroscience reporting is frequently exaggerated, particularly if the initial press release at all overstates the results.6,7 Even when the reporting is accurate, plenty of published results aren’t replicable, meaning that new researchers repeating the same study don’t find the same results.8

In “Combating Neurohype,” Mo Costandi asks researchers to take responsibility for accurate reporting of their results.9 I’d argue that part of this responsibility is actively taking into account how readers might interpret word choices with varied emphases in different spheres.

For educators and others reading and talking about science, it’s important to develop a healthy skepticism with regard to the headline. Going beyond it usually reveals that the exciting result is a bit more nuanced and perhaps limited, raising critical questions about when and where such research might be applicable (or not). Developing these critical questions and getting them in front of scientists might propel what we know about learning and the brain even further.10

 

References & Further Reading

  1. Gureckis, T. M., & Markant, D. B. (2012). Self-Directed Learning: A Cognitive and Computational Perspective. Perspectives on Psychological Science, 7(5), 464–481. [Paper]
  2. Miyake, A., & Friedman, N. P. (2012). The Nature and Organization of Individual Differences in Executive Functions: Four General Conclusions. Current Directions in Psychological Science, 21(1), 8–14. [Paper]
  3. Drayna, D., Manichaiku, A., de Lange, M., Snieder, H., Spector, T. (2001). Genetic Correlates of Musical Pitch Recognition in Humans. Science, 291, 1969-1972. [Paper]
  4. “The Sound of Music(ality)”. (2015). Carry the One Radio. [Audio Podcast]
  5. Howard-Jones, P. A. (2014). Neuroscience and education: myths and messages. Nature Reviews. Neuroscience, 15(12), 817–824. [Paper]
  6. O’Connor, C., Rees, G., & Joffe, H. (2012). Neuroscience in the public sphere. Neuron, 74(2), 220–6. [Paper]
  7. Sumner, P., Vivian-Griffiths, S., Boivin, J., Williams, A., Venetis, C. A., et al. (2014). The association between exaggeration in health related science news and academic press releases: retrospective observational study. Bmj, 349 (December), g7015. [Paper]
  8. Open Science Collaboration. (2015). Estimating the reproducibility of psychological science. Science Magazine, 349(6251). [Paper]
  9. Costandi, Mo. (2015). Combating Neurohype. The Neuroethics Blog. [Blog]
  10. Christodoulou, J. A., & Gaab, N. (2009). Using and misusing neuroscience in education-related research. Cortex, 45(4), 555–557. [Paper]
  • Center on the Developing Child at Harvard University (2011). Building the Brain’s “Air Traffic Control” System: How Early Experiences Shape the Development of Executive Function: Working Paper No. 11. [Organization]

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Rebecca Gotlieb
Rebecca Gotlieb

To better serve more students and encourage creativity, inquiry, a diversity of skills, and the ability to live a fulfilling life, we need teachers, principals, and policy makers to charge forward with the revolutionary idea of personalized and holistic learning. Authors Sir Ken Robinson, who delivered a TED talk about creativity and schools that has been viewed more times than any other TED talk, and Lou Aronica make these claims in their new book, Creative Schools: The Grassroots Revolution That’s Transforming Education. After explaining clearly the shortcomings of our current education reform narrative, Robinson and Aronica offer a compelling vision for a new educational system and a theory of change that can be implemented either from outside of or within school systems.

Robinson opines that, since the introduction of the No Child Left Behind legislation, the federal government’s role in education has increased significantly. The current focus, however, on raising standards and accountability is misplaced because the problems can be addressed only by larger scale changes in the type of learning experience we provide to students. The increased amount of standardized testing that accountability measures require of students, for example, is exacerbating our problem of teaching to too narrow a skill set, killing creativity and entrepreneurialism, and leading to the deprofessionalization of the teaching profession.

Robinson urges that, as we think about educating students for the future, we need to face several concerning trends: the decreasing monetary value of a college degree and the rising cost of earning one; a bifurcated academic and vocational class system contributing to rising income inequality; the social and financial drain of having nearly 1.5 million students (who are disproportionately racial minorities) drop out of high school each year; and the boredom and demoralization of those who remain in school.

One way to address these issues, according to Robinson and Aronica, is by shifting our educational system from one modeled after industrial revolution era manufacturing practices to one more analogous to mass farming practices. Doing so would better serve the economic, cultural, social, and personal purposes of education. Our current model has a pyramidal structure in which only a select few students—those who have most successfully conformed to the “student mold”—make it all the way through the educational system to earn advanced degrees. To keep pace with changing economic demands and to foster a wise citizenry that can support a healthy democracy, schools need to: serve the whole student (not just the student-reader, writer, or mathematician) and cultivate his multiple intelligences; recognize the interdependence between students and their community and allow them to pursue their interests in an authentic, self-paced, and playful way; and serve all of its members regardless of their home or financial circumstance.

Robinson and Aronica offer advice for teachers and principals about how they can effect change within the educational system. The core objective of the art of teaching is to facilitate learning, and yet teachers get bogged down in so many extraneous responsibilities. The authors urge teachers to focus on building strong relationships in which they engage their students, enable their students’ curiosity and help them find their passion, maintain high expectations, and empower their students. Principals can help by giving equal weight in the curriculum and culture to subjects like art and physical education, offering opportunities for interdisciplinary learning, and letting students have a voice in decisions about curriculum content while also ensuring that the ideas presented in the curriculum are diverse and taught with depth and dynamism. The strongest leader has a vision and a plan of implementation, but also empowers all members of her community to be innovators who generate ideas for improvement. The authors provide an alliteration of the 8 skills schools should try to promote: curiosity, creativity, criticism, communication, collaboration, compassion, composure, and citizenship.

The authors note also that supporting student learning is not the responsibility solely of the school; it occurs through an interactive partnership among the school, family, and community. Parents, for example, should take a keen interest in their children’s learning while resisting the urge to become overbearing and controlling about school work.

Robinson and Aronica conclude that, even among individuals with good intentions to support educational reform, combatting entrenched thinking about standardization and conformity rather than personalization and creativity is a challenge. They urge reforms to keep students’ enthusiasm for learning at the forefront of their efforts. With a vision for the future, the belief that change is possible, an understanding of why change is good, the resources necessary to catalyze reform, and an action plan, the revolution for which this book cries is eminently possible.

 

Robinson, K., & Aronica, L. (2015). Creative Schools: The Grassroots Revolution That’s Transforming Education. New York, NY: Viking Penguin.

Default Image
Rose Hendricks
Rose Hendricks

overcoming stereotypes

Education is intended to be a great equalizer, one that provides everyone with the resources that they need to be successful. Unfortunately, there’s plenty of evidence suggesting that it might not be as equalizing as many would like. There are still academic achievement gaps, for example between men and women and between European Americans and African Americans1,2. These performance gaps can’t be entirely explained by differences in background experience. Instead, the stereotypes that students have internalized likely play a significant role.

One pivotal study by Steven Spencer, Claude Steele, and Diane Quinn10, for example, found that simply telling women that men do better on a particular math test results in worse performance, a phenomenon referred to as “stereotype threat”. Another study found that just telling a black athlete that a golf task was a test of “sports intelligence” significantly decreased his performance11. Countless studies since have replicated these findings for everything from working memory capacity to test anxiety to high blood pressure. When people expect that they should have some flaw or difficulty, the expectation becomes a self-fulfilling prophecy.

Studies have also found that teacher expectations can have a significant impact on student performance. For example, a series of influential studies from the 1960’s showed that after teachers were told that randomly selected students were about to experience an “intellectual boom,” those students experienced major improvements in their performance, even though nothing had changed aside from their teacher’s opinion of them12. Subtle features of the environment can shape students’ behavior and self-perception, so it’s essential that we identify ways to minimize stereotype threat in the classroom.

The Power of Values Affirmation

Combating deep-rooted stereotypes is no light task, but research has shown that there are subtle interventions that may at least begin to do this. They’re often called values affirmation interventions because they encourage students to reflect on their personal values. The most common implementation of values affirmation involves writing about one’s values, but the crucial ingredient is that students are conscious of the things that are important to them personally. In one study, half of the males and half of the females in a college physics class participated in a values affirmation activity at the beginning of the semester, while the others did not1. By the end of the semester, there was a marked difference in the two groups. In the control group (students who did no special intervention), males significantly outperformed females. In the affirmation group, however, this gap was eliminated. This suggests that simply being mindful of one’s values can combat stereotypes that may otherwise hamper girls’ performance.

A similar study examined the effects of a values affirmation intervention in African Americans and European Americans2. This study looked at change in GPA over the course of two school years. While the intervention didn’t affect European Americans — there was no difference in GPA change in the affirmation group compared to the group who did not do the affirmation — the GPAs of the African Americans who participated in the intervention increased by .24 points by the end of the two years.

The intervention was especially effective for low-performing African Americans, who experienced a GPA increase of 0.41 points on average and whose chances of repeating a grade or being placed in a remedial class were slashed from 18% to 5%.

Why do these value-affirming interventions work?

They are incredibly simple, involving only a short writing activity that is sometimes repeated a few times, but sometimes only done once. Yet the simplicity might be a key to the success of values affirmation interventions. The authors of the study investigating their effects for African Americans point out that there is often a recursive process at work: students have initial mental states or stereotypes that are compounded over time. The intervention, though small, seems to alter that recursive trajectory, leading to substantial long-term consequences2.

Values Affirmation & the Brain

Work by Lisa Legault and colleagues suggests that effects of self affirmation can be seen at the neural level3. The brain’s electrical patterns can be recorded through electroencephalography (EEG), and different cognitive processes have different signature patterns. One well-known pattern is called the Error-Related Negativity (ERN). Just 100ms after people make an error on a task, there is a negative electrical spike, as their dopaminergic neurons (those that encourage us to keep doing more of what we’re doing) stop firing. They hypothesized that when we feel affirmed, we are more sensitive to our errors (in order to learn from them), and therefore that people who had undergone a self-affirmation measure should show an increased ERN response to making errors and an improved performance on a task. On the flip side, people whose self-affirmation was undermined might show a blunted ERN response and a decreased task performance.

All participants received a list of 6 values and rated them in terms of their importance to themselves. Those in the affirmation condition then wrote about their top value, while those in the non-affirmation condition wrote about their lowest one. They then performed a straightforward task: when they saw an M on the screen, they had to quickly press a response button; when they saw a W on the screen, they were to do nothing. This type of task is often called a go/no-go task. They did indeed find that participants who completed the values affirmation task had both increased performance and “neuroaffective sensitivity to task errors” compared to those in the non-affirmation group.

This research adds to our understanding of why values affirmation improves performance in groups facing stereotype threats. It seems to reduce depletion by improving our detection of and sensitivity to errors, reduce defensiveness, and motivate people to succeed.

A values affirmation intervention has also been effective for attaining weight loss goals4, demonstrating that the mechanism through which it works affects motivation and empowerment beyond the classroom. Another research group investigated neural activity while people were exposed to messages about ways to improve their health by using functional magnetic resonance imaging (fMRI)5. Participants who had completed a values affirmation exercise before hearing the mentions showed more activity in the ventromedial prefrontal cortex (a region of the brain associated with self-related processing and positive valuation) than those who did not reflect on their values before receiving the same message.

Together, these studies suggest that after reflecting on our values, our brains may process incoming information differently, allowing us to make the best of constructive feedback and motivating us to improve our performance the task or goal we’re focused on.

Facebook as an Unexpected Tool for Self-Affirmation

Are there other ways to tap into the benefits of self affirmation? Recent work suggests that Facebook may provide one way of doing so6. College undergraduates were placed in one of four groups: (1) the Facebook self-affirming group had 5 minutes to explore any aspect of their own Facebook profile they chose; (2) the Facebook non-affirming group had 5 minutes to explore someone else’s profile; (3) the values affirmation group wrote for five minutes about something they valued; and (4) the values control group wrote about something they valued very little. After doing the associated task, participants received feedback on a speech they had done at the very beginning of the experiment. Everyone received the same generic negative feedback, and they were then asked to rate different aspects of that feedback, like how useful it was and how competent the person who gave it to them was. If participants were self-affirmed before receiving their feedback, they should be more accepting of the negative feedback they received. This was exactly what the researchers found, regardless of whether the affirmation came in the form of the traditional writing intervention or by looking at their own Facebook profile. In fact, both forms of affirmation were equally effective. This study still leaves the mechanistic question unanswered; that is, why does viewing our own profile encourage us to reflect on our values? Is it only important that we focus our thoughts on ourselves, or is there something about a Facebook profile that reminds us of what we believe in and value?

In a second experiment, these same researchers asked whether people actually seek out Facebook’s self-affirming abilities after a negative experience. Again, they performed a speech and received generic feedback. This time, half of the participants received negative feedback, while the other half received neutral feedback. They were then invited to take place in a second experiment online and could choose which experiment they wanted to take place in: one that involved Facebook, YouTube, music, news, or games online. Those who received the negative feedback chose to go to Facebook significantly more often than those who received the neutral feedback, suggesting that Facebook is one outlet that people seek out to affirm themselves after an injury to their ego.

While students can certainly use Facebook to engage in many activities that are not affirming (some of which may in fact be the disaffirming), current research suggests that we may not want to dismiss the platform as solely a hindrance to education. Instead, we may want to entertain the counterintuitive possibility that it may be affirming for students, especially when looking at their own profiles.

Incorporating Affirmation in Education

Fortunately, values affirmation activities take little time and no money to implement. They help those who are most likely to be battling stereotypes without hurting others. So far, they seem to be a win-win. But there are still lots of aspects of affirming interventions that need to be better understood. Is an intervention as effective if students are aware of its intentions as if they are unaware? Is more affirmation always better? What other ways can it be implemented – perhaps by looking at photos, listening to music with positive messages, or engaging in an activity that one is good at?

Until more of these questions are addressed, teachers who want to reduce the role of harmful stereotypes in their classrooms can consider one of the forms of affirmation that we know to be beneficial. Whether students are affirmed through Facebook, writing about values, or other unknown sources, keeping the power of self-affirmation in mind may help us bring education closer to the great equalizer it was intended to be.

 

References & Further Reading

  1. Miyake, A., Kost-Smith, L.E., Finkelstein, N.D., Pollock, S.J, Cohen, G.L, & Ito, T.A. (2010). Reducing the gender achievement gap in college science: A classroom study of values affirmation, Science, doi: 10.1126/science.1195996. [Paper]
  2. Cohen, G.L., Garcia, J., Purdie-Vaughns, V., Apfel, N., & Brzustoski, P. (2009). Recursive processes in self-affirmation: Intervening to close the minority achievement gap. Science, doi: 10.1126/science.1170769. [Paper]
  3. Legault, L., Al-Khindi, T., & Inzlicht, M. (2012). Preserving integrity in the face of performance threat: Self-affirmation enhances neurophysiological responsiveness to errors. Psychological Science, doi: 1177/0956797612448483. [Paper]
  4. Logel, C. & Cohen. G.L. (2011). The role of the self in physical health: Testing the effect of a values-affirmation intervention on weight loss. Psychological Science, doi: 10.1177/0956797611421936. [Paper]
  5. Falk, E.B., Brook O’Donnell, M., Cascio, C.N., Tinney, F., Kang, Y., Lieberman, M.D., Taylor, S.E., An, L., Resnicow, K., & Strecher, V.J. (2014). Self-affirmation alters the brain’s response to health messages and subsequent behavior change. Proceedings of the National Academy of Sciences, doi:10.1073/pnas.1500247112. [Paper]
  6. Toma, C.L. & Hancock, J.T. (2013). Self-affirmation underlies Facebook use. Personality and Social Psychology Bulletin, doi: 10.1177/0146167212474694. [Paper]
  7. Gonzales, A.L. & Hancock, J.T. (2010). Mirror, mirror on my Facebook wall: Effects of exposure to Facebook on self-esteem. Cyberpsychology, Behavior, and Social Networking, doi: 10.1089/cyber.2009.0411. [Paper]
  8. The Value of “Values Affirmation”: Stanford Graduate School of Business [Article]
  9. Pedersen, T. (2013). Facebook profile often used for self-affirmation. Psych Central. [Article]
  10. Spencer, S.J., Steele, C.M., Quinn, D.M. (1999). Stereotype threat and women’s math performance. Journal of Experimental Psychology, 35, 4-28. [Paper]
  11. Stone, J., Lynch, C.I., Sjomelin, M., Darley, J.M. (1999). Stereotype threat effects on black and white athletic performance. Journal of Personality and Psychology, 77(6), 1213-1227. [Paper]
  12. Rosenthal, R. & Jacobson, L. (1966). Teachers’ expectancies: Determinants of pupils’ IQ gains. Psychological Reports, 19, 115-118. [Paper]